Data Science Analyst

Marsh Description: We are looking for a motivated Data Science Analyst to join our team and support the development of data-driven solutions, analytics and reporting capabilities. This opportunity is ideal for a professional with experience in Python, data analysis and data processing who is interested in working with diverse datasets, developing analytical solutions and contributing to data science and automation projects. Working closely with technical and business teams, you will help transform complex data into meaningful insights, support data modelling initiatives and contribute to the development of scalable data solutions.

About Mmc

We help you be your best through professional development opportunities, interesting work, and supportive leaders; We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have an impact for colleagues, clients, and communities; Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being; A yearly budget and the opportunity to build your flexible benefits package (up to 20% of your annual salary); 30+ days off (including legal days, birthday, public holiday replacements, and benefits options); Performance bonus scheme; Matching charity contributions, charity days off, and the Pay it Forward charity challenge; Core benefits: Pension, Life and Medical Insurance, Meal Vouchers, Travel Insurance.

MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries.

With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective.

For more information, visit marsh.com, or follow us on LinkedIn and X. Marsh is committed to providing an inclusive work environment.

Responsibilities

• Design, develop and maintain scalable backend services and APIs using Python, Flask and FastAPI.
• Build production-ready AI/LLM solutions, including REST APIs, WebSocket streaming, authentication and integration with external systems.
• Develop and optimize Large Language Model (LLM) applications using GPT and open-source models, including prompt engineering and model evaluation.
• Build and maintain RAG pipelines, vector search solutions and AI agent workflows using tools such as pgvector, MCP and function calling.
• Integrate internal and external data sources, databases and APIs into AI-powered applications.
• Work with SQL Server and PostgreSQL, optimizing database schemas, queries and data handling processes.
• Apply machine learning and deep learning techniques using frameworks such as TensorFlow, Keras and Scikit-learn.
• Monitor and evaluate AI model performance, including response quality, latency, cost efficiency and hallucination mitigation.
• Participate in code reviews, troubleshooting and continuous improvements to ensure code quality, reliability and security.

Requirements

• Around 2 years of experience in a corporate IT environment, with exposure to Artificial Intelligence, Machine Learning and Python development.
• Python programming skills and hands-on experience with Flask and FastAPI.
• Good understanding of software design, debugging, performance optimization and backend development.
• Solid knowledge of SQL Server and PostgreSQL, including database design, indexing, query optimization and ORM tools such as SQLAlchemy.
• Experience or practical knowledge of Large Language Models (LLMs), AI integrations and related development frameworks.
• Understanding of security, privacy and compliance best practices in software development.
• Strong analytical, problem-solving and communication skills.
• Ability to work independently, collaborate with distributed teams and maintain technical documentation.

Preferred

• Experience with Docker, Kubernetes or containerized application deployments.
• Familiarity with CI/CD pipelines and tools such as GitHub Actions.
• Basic JavaScript knowledge for application integration or tooling.
• Why join our team?

We aim to attract and retain the best, most qualified people and value colleagues of all backgrounds, without regard to age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.